Literature DB >> 26767322

Genome-wide association studies based on sequence-derived genotypes reveal new QTL associated with conformation and performance traits in the Franches-Montagnes horse breed.

M Frischknecht1,2,3, H Signer-Hasler3,4, T Leeb1,3, S Rieder2,3, M Neuditschko2,3.   

Abstract

To identify novel quantitative trait loci (QTL) within horses, we performed genome-wide association studies (GWAS) based on sequence-level genotypes for conformation and performance traits in the Franches-Montagnes (FM) horse breed. Sequence-level genotypes of FM horses were derived by re-sequencing 30 key founders and imputing 50K data of genotyped horses. In total, we included 1077 FM horses genotyped for ~4 million SNPs and their respective de-regressed breeding values of the traits in the analysis. Based on this dataset, we identified a total of 14 QTL associated with 18 conformation traits and one performance trait. Therefore, our results suggest that the application of sequence-derived genotypes increases the power to identify novel QTL which were not identified previously based on 50K SNP chip data.
© 2016 Stichting International Foundation for Animal Genetics.

Entities:  

Keywords:  GWAS; NGS; imputation

Mesh:

Year:  2016        PMID: 26767322     DOI: 10.1111/age.12406

Source DB:  PubMed          Journal:  Anim Genet        ISSN: 0268-9146            Impact factor:   3.169


  3 in total

1.  A genome-wide association study for harness racing success in the Norwegian-Swedish coldblooded trotter reveals genes for learning and energy metabolism.

Authors:  Brandon D Velie; Kim Jäderkvist Fegraeus; Marina Solé; Maria K Rosengren; Knut H Røed; Carl-Fredrik Ihler; Eric Strand; Gabriella Lindgren
Journal:  BMC Genet       Date:  2018-08-29       Impact factor: 2.797

Review 2.  Ten years of the horse reference genome: insights into equine biology, domestication and population dynamics in the post-genome era.

Authors:  T Raudsepp; C J Finno; R R Bellone; J L Petersen
Journal:  Anim Genet       Date:  2019-09-30       Impact factor: 3.169

3.  Genetic consistency between gait analysis by accelerometry and evaluation scores at breeding shows for the selection of jumping competition horses.

Authors:  Anne Ricard; Bernard Dumont Saint Priest; Marjorie Chassier; Margot Sabbagh; Sophie Danvy
Journal:  PLoS One       Date:  2020-12-16       Impact factor: 3.240

  3 in total

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